Step 4 - Inverse DCT

recov_IMG = inverse_DCT(recov_DCT_tf_img);

function inv_DCT = inverse_DCT(img)

inv_DCT={};

for y=1:size(img,1)

for x= 1:size(img,2)

inv_DCT(y,x)={idct2( cell2mat(img(y,x)) )};

end

end

end

After this we obtain the decoded image. We can display the image from

imshow(cell2mat(recov_IMG));

DECODING PROCESS FULL CODE

%decoding recieved signal - huffman

recovered_signal = huffmandeco(code,dict);

%decoding runlength _____(run_L_coded ------->img_One_D_vector)

recov_run_length = decod_runLength(recovered_signal);

%inverse zigzag ______(img_One_D_vector--------->DCT_tf_img)

recov_DCT_tf_img =inverseZigZag(recov_run_length,macrobock_size,rvec,cvec,y,x);

%inverse dct_____(recovered_dct_tf---->recovered img)

recov_IMG = inverse_DCT(recov_DCT_tf_img);

%DISPLAY IMAGE

imshow(cell2mat(recov_IMG));

sprintf("compressed image size = %d", size(code,2)) %code is the huffman encoded result.check main

"compressed image size = 2753415"

sprintf("original image size = %d", size(img,2)*size(img,1))

"original image size = 3686400"

sprintf("Compression ratio = %d", size(img,2)*size(img,1)/size(code,2))

"Compression ratio = 1.338846e+00"